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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 834 in Layer 6

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 1.1958. Min Act: -0.0001

Data Index: 1072653 (C4 (Web Text))

Max Activating Token Index: 25

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Text #1

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Max Act: 1.1334. Min Act: -0.0001

Data Index: 321050 (C4 (Web Text))

Max Activating Token Index: 893

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Text #2

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Data Index: 776387 (C4 (Web Text))

Max Activating Token Index: 636

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Text #3

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Data Index: 701595 (C4 (Web Text))

Max Activating Token Index: 793

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Text #4

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Data Index: 427192 (C4 (Web Text))

Max Activating Token Index: 731

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Text #5

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Data Index: 1532784 (Python Code)

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Text #6

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Data Index: 634677 (C4 (Web Text))

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Text #7

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Data Index: 1273862 (C4 (Web Text))

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Text #8

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Data Index: 1127012 (C4 (Web Text))

Max Activating Token Index: 860

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Text #9

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Data Index: 557268 (C4 (Web Text))

Max Activating Token Index: 672

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Text #10

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Data Index: 1099913 (C4 (Web Text))

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Text #11

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Data Index: 1274125 (C4 (Web Text))

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Text #12

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Text #13

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Data Index: 133509 (C4 (Web Text))

Max Activating Token Index: 650

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Text #14

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Data Index: 402292 (C4 (Web Text))

Max Activating Token Index: 603

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Text #15

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Data Index: 883948 (C4 (Web Text))

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Text #16

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Data Index: 183198 (C4 (Web Text))

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Text #17

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Data Index: 1149230 (C4 (Web Text))

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Text #18

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Data Index: 1441220 (Python Code)

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Text #19

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Data Index: 1306748 (C4 (Web Text))

Max Activating Token Index: 828

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